GP180 Geophysical Inverse Theory Paul Segall and Greg Beroza, Spring 2001
Syllabus
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3 | Introduction to Inverse Theory |
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5 | Probability, covariance, propagation of erros, Norms in finite and infinite dimensional spaces |
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10 | Least squares, Normal Equations |
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12 | Maximum likelihood |
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17 | Minimum norm solution with exact data |
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19 | Minimum norm solution with inexact data |
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24 | Uniqueness, null space |
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26 | Singular value decomposition |
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1 | Bayesian inversion |
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3 | Spectral methods for continuous inverse problems |
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9 | Cross validation / Bayes and other methods for smoothing |
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11 | Numerical aspects: Back projection |
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15 | Non-linear inversion part I, earthquake location, simulated annealing |
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17 | Non-linear inversion, part II.. |
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22 | Seismic tomography, mixed continuous discrete problems. Denuisancing. |
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24 | Linear programming, L1 norm solutions |
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29 | Non-negative methods, quadratic programming |
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31 | Backus-Gilbert, bounding functionals |
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5 | Maximum entropy methods / Wavelets / Time dependent inversion |
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7 | Summary / Wrap up |